Nonparametric Inference: Methods and Applications

Dear Colleagues,

This Special Issue is dedicated to nonparametric statistical methods. It will cover topics concerning both new methodological proposals or theoretical studies about the properties of existing methods, as well as the applications of methods previously proposed in the literature. The applications can concern all empirical sciences, such as biosciences, chemistry, medicine, engineering, computer science, psychology, economics, business, sociology, and many others.

Authors are encouraged to submit manuscripts that concern theoretical or applied works, provided that they deal with methods of estimation, hypothesis testing, classification, or forecasting that follow a distribution-free approach. The following is a non exhaustive list of such methods:

• Rank tests;
• Permutation tests;
• Bootstraps;
• Jacknifes;
• Nonparametric estimations;
• Resampling methods;
• Lack-of-fit tests;
• Nonparametric models;
• Multivariate analyses;
• Dimension reduction and variable selection;
• Stochastic processes;
• Sample surveys;
• Time series analyses;
• Longitudinal and functional data analyses;
• Nonparametric Bayesian methods;
• Semiparametric models and methods;
• Statistical methods for imaging and tomography;
• Computational statistics;
• Machine learning.

Dr. Stefano Bonnini
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Stats is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• nonparametric statistical methods
• distribution-free approach
• hypothesis testing
• resampling methods
• machine learning